Key Responsibilities

• Design, develop, and optimize data pipelines using Databricks
• Build scalable ETL/ELT solutions for large datasets
• Work closely with data engineers, architects, and stakeholders
• Ensure data quality, performance, and reliability
• Take ownership of deliverables end-to-end and drive solutions independently
• Participate in design discussions and technical decision-making

✅ Required Skills & Experience

• Total Experience: Minimum 8+ years
• Databricks: At least 5+ years of hands-on experience (mandatory)
• Strong experience as a Data Engineer or Data Warehouse professional
• Proficiency in Apache Spark, SQL, Python / Scala
• Experience working with large-scale data systems
• Strong understanding of data modeling, performance tuning, and optimization
• Exposure to cloud platforms (AWS / Azure preferred)

Behavioral & Professional Expectations

• Good Communication Skills:
  Ability to clearly communicate with both technical and non-technical stakeholders

• Career Stability:
  Demonstrates long-term commitment and consistent career progression

• Ownership:
  Takes full responsibility for assigned modules and delivers with accountability